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Characterisation of metabolic burden in Pseudomonas putida reveals precursor limitation in heterologous lycopene production.

BACKGROUND: The introduction of heterologous pathways into microbial hosts often imposes a metabolic burden on the cell, arising from three major physiological constraint layers: competition for gene expression resources, limited precursor availability and flux distribution, and insufficient energy and redox supply. Although Pseudomonas putida KT2440 is considered a robust and metabolically versatile production host, it remains unclear which of these constraint layers primarily limits heterologous terpenoid production in this organism. Here, lycopene biosynthesis was used as a model system to systematically dissect these three potential sources of metabolic burden. RESULTS: A capacity-monitoring system revealed no clear reduction in transcriptional or translational capacity across the tested strains and cultivation conditions, indicating that general gene expression capacity was not the primary limiting factor. Instead, lycopene production depended strongly on promoter architecture and plasmid backbone, showing that regulatory design shaped pathway performance. Enhancing precursor supply by introducing a heterologous mevalonate (MVA) pathway substantially increased product titres, identifying precursor availability from the native MEP pathway as the dominant bottleneck. This conclusion was independently supported by exogenous mevalonate supplementation, which further increased lycopene accumulation but also revealed saturation at higher concentrations, suggesting that downstream pathway balance or enzyme capacity became limiting once precursor supply was relieved. Under controlled bioreactor conditions, lycopene titres increased from approximately 1 mg/L to nearly 25 mg/L, indicating that process conditions further modulate production performance, suggesting an additional contribution of process-dependent energy and redox constraints. CONCLUSION: Metabolic burden during heterologous lycopene production in P. putida is governed primarily by precursor availability rather than by limitations in general gene expression capacity. Regulatory properties of the vector system strongly influence pathway performance, while controlled cultivation conditions can further improve production by alleviating additional process-dependent constraints. Together, these findings provide a systematic framework for distinguishing constraint layers and guiding the optimisation of heterologous terpenoid production systems.

Lycopene

Genetically Predicted Muscle Mass and Function in Relation to Deep Vein Thrombosis: A Two-step Mendelian Randomization Study Highlighting the Mediating Role of BMI.

BackgroundSarcopenia is observationally linked to venous thromboembolism, but the causal architecture and underlying biological pathways remain largely unclear. This study investigated the causal effects of sarcopenia-related traits on lower extremity deep vein thrombosis (DVT) and quantified potential mediating mechanisms.MethodsWe performed two-sample bidirectional Mendelian randomization (MR) and two-step mediation MR using large-scale GWAS data from UK Biobank, EMBL-EBI, and FinnGen. Exposures included appendicular lean mass (ALM), leg fat-free mass (LFM), hand grip strength, and walking pace. Eighteen candidate mediators were screened for indirect pathways.ResultsGenetically predicted higher ALM was significantly associated with increased DVT risk (FinnGen: OR = 1.288, 95% CI: 1.215-1.365, P < 0.001). Similar positive associations were observed for LFM (OR = 1.920-1.954, P < 0.001). By contrast, muscle functional traits - grip strength and walking pace - demonstrated no consistent causal effects. Reverse MR confirmed a unidirectional relationship. Body mass index (BMI) emerged as a pivotal mediator, accounting for 7.58% - 10.50% of the ALM-DVT effect and 52.74% - 62.73% of the LFM-DVT effect. Notably, the independent effect of ALM was largely attenuated after adjusting for metabolic confounders in multivariable MR.ConclusionGenetic predisposition to high muscle mass, rather than functional strength, increases DVT risk. This relationship appears to be significantly driven by metabolic adiposity, suggesting that the "muscle-vascular-coagulation" interaction is partly explained by body-size-related metabolic burden. Risk stratification should integrate muscle mass evaluation with comprehensive metabolic health assessments.

Humans

Membrane and proteome allocation constraints in Escherichia coli models during overflow metabolism.

The allocation of finite cellular resources is a fundamental principle that dictates microbial metabolic strategies and gives rise to complex phenomena, such as overflow metabolism, characterized by the production of respiro-fermentative by-products, including acetate, during rapid growth. Although proteome-constrained models have successfully predicted overflow metabolism in Escherichia coli, they often overlook the distinct biophysical and energetic costs associated with protein localization. The cellular membrane, in particular, represents a critical and constrained compartment where competition for space and synthesis machinery can create significant metabolic bottlenecks. To investigate this, we developed the membrane-associated constrained flux balance analysis (MAFBA), a scalable, genome-scale metabolic model that introduces a tunable constraint on the total protein mass allocated to the cellular membrane. Our model demonstrates that the overall and membrane-associated proteome allocation constraints interact to improve the accuracy of predicting the onset of overflow metabolism. It mechanistically reveals that at high growth rates, competition for limited membrane allocation forces a trade-off between growth-essential functions and respiratory capacity, leading to acetate production. Furthermore, MAFBA quantitatively explains the widely observed experimental phenomenon that expressing heterologous membrane proteins imposes a significantly higher metabolic burden than expressing cytosolic proteins. This study establishes membrane resource allocation as a key constraint governing bacterial physiology, acting in concert with overall proteome limitations. The resulting MAFBA framework provides a powerful and accessible tool for synthetic biology and metabolic engineering, enabling the prediction of metabolic costs associated with expressing membrane-bound proteins and guiding strain design strategies, holding promise for applications in bioproduction and metabolic engineering.

Escherichia coli

Engineering Bacillus Subtilis for Efficient Biosynthesis of Riboflavin: Current Knowledge and Future Perspectives.

Riboflavin is an essential water-soluble vitamin that serves as a precursor for the biosynthesis of the flavin cofactors FMN and FAD, which play pivotal roles in numerous redox and energy metabolism reactions. With the growing global demand for sustainable vitamin production, microbial fermentation has become an attractive alternative to chemical synthesis due to its environmental and economic advantages. Among microbial hosts, Bacillus subtilis has emerged as a leading cell factory for riboflavin production owing to its GRAS status, well-characterized genetics, and efficient protein secretion system. This review provides a comprehensive overview of recent advances in metabolic engineering strategies to enhance riboflavin biosynthesis in B. subtilis. Key topics include strengthening biosynthetic and precursor pathways, relieving feedback inhibition, balancing metabolic flux and cell growth, employing adaptive laboratory evolution, and utilizing omics-guided optimization and 13C metabolic flux analysis. Moreover, the integration of synthetic biology tools such as riboswitch engineering, regulatory element design, and high-throughput screening has significantly accelerated strain improvement. Despite remarkable progress, challenges remain in achieving precise regulatory control, optimizing multi-gene expression, and enhancing genome integration efficiency. Future research combining multi-omics data, synthetic regulatory design, and machine learning-driven predictive modeling is expected to further advance the development of intelligent B. subtilis cell factories. However, the practical implementation of these systems remains constrained by the metabolic burden of overproduction and the lack of universal regulatory models that can predict strain performance across varying industrial scales.

Bacillus subtilis

Metabolic reprogramming and taxonomic drivers in bacterial vaginosis: A large-scale metagenomic meta-analysis.

OBJECTIVE: Bacterial vaginosis (BV) represents a profound ecological shift from a Lactobacillus-dominated microbiota to a diverse polymicrobial biofilm associated with adverse outcomes. While taxonomic signatures are well-documented, the functional mechanisms driving this transition remain obscured. This study elucidates the genomic potential for metabolic reprogramming and the putative "functional handover" underpinning the stability of the dysbiotic state. METHODS: A computational meta-analysis of 3557 vaginal microbiomes from diverse global cohorts was performed using the standardized MGnify pipeline. A high-resolution subset of 187 whole-genome shotgun (WGS) metagenomes was stratified to compare functional potential across demographic groups. Taxon-function interaction networks were constructed, utilizing a dual-filter statistical approach (p&#x202f;<&#x202f;0.05 and effect size ranking), to map the shift from homeostatic maintenance to dysbiotic metabolic potential. RESULTS: BV was characterized by a fundamental shift from "maintenance" pathways to high-turnover "growth-oriented" genomic repertoires. While ABC transporter-like domains were present in healthy communities, dysbiosis was marked by a quantitative expansion and diversification of these systems alongside P-loop NTPases. Network analysis revealed a putative "functional handover": while Gardnerella serves as the adherent structural scaffold, the metabolic burden appears to be associated with secondary anaerobes, specifically BVAB1 and Sneathia, which exhibit strong genomic correlations with nutrient transport and stress response pathways. Crucially, microbiomes from women of African ancestry (Black cohort) exhibited a distinct functional profile with genomic signatures consistent with functions previously associated with resistome expansion (e.g., tetracycline/macrolide resistance), contrasting with Asian cohorts. CONCLUSION: BV is a state of metabolic reprogramming where genomic functional dominance is transferred from Lactobacillus to a cooperative network of anaerobic opportunists. Identifying BVAB1 and Sneathia as candidate metabolic engines, supported by a Gardnerella scaffold, challenges current therapeutic paradigms and highlights the potential for precision medicine targeting specific functional drivers and resistome profiles across diverse populations.

Humans

Association between hepatic steatosis index and female infertility: a cross-sectional study using NHANES 2013-2018.

Female infertility is a major reproductive health concern. Hepatic steatosis index (HSI), a non-invasive marker of liver-related metabolic burden, has not been well studied in relation to infertility across its distribution. We analyzed women aged 20-49 years from three NHANES cycles (2013-2018). HSI was examined as both a continuous variable and in quartiles, and restricted cubic spline models were used to assess potential nonlinearity. Sensitivity analyses using alternative infertility definitions and exploratory interaction analyses were also performed. Among 3,007 women, 416 (13.8%) were classified as having infertility. In the fully adjusted model, women in the highest HSI quartile had higher odds of infertility than those in the lowest quartile (OR 1.66, 95% CI 1.08-2.57; P = 0.031), with a significant trend across quartiles (P for trend = 0.010). Restricted cubic spline analysis showed a nonlinear association between HSI and infertility (P for overall association = 0.005), which was more evident at higher HSI levels. Higher HSI was associated with greater odds of infertility among reproductive-aged women.

Humans

Sex-specific aging clocks from a large-scale human phenome reveal distinct aging transitions and circulating signatures.

Aging is a primary risk factor for chronic diseases, yet its progression varies among individuals and between sexes. Here, under the X-Age Project, we profiled the clinical aging phenome of the Multicentric Chinese Aging Study (mCAS) through a cross-sectional analysis of 172 clinical measures from more than 100,000 participants aged 18-98&#x2009;years across three centers. These profiles enabled sex-specific clinical aging clocks that revealed divergent aging trajectories between women and men during midlife that converged in later life. Phenome-wide analyses revealed age-related accumulation of metabolic factors, including low-density lipoprotein, triglycerides, glucose and uric acid, and tumor markers, such as carcinoembryonic antigen and human epithelial protein 4. These age-accumulating factors induced senescence-related phenotypes in human endothelial cells. Furthermore, a high-fat diet mouse model with dietary reversal supported the modifiability of metabolic burden-induced aging. Together, this work establishes metabolic and tumor marker accumulation as actionable drivers of human aging, paving the way for personalized, sex-stratified geroprotective interventions.

Humans

Effect of demographic characteristics on the outcome of prostate cancer salvage radiotherapy: Analysis from a randomized controlled trial.

BACKGROUND: This study investigated the impact of advanced molecular imaging, race, socioeconomic status, and metabolic dysregulation on the outcome of salvage radiotherapy (sRT) for prostate cancer recurrence in a clinical trial setting. METHODS: The authors randomized post-prostatectomy men with detectable prostate-specific antigen to sRT guided by conventional imaging (arm A) or 18F-fluciclovine-positron emission tomography/computed tomography (arm B) and followed them up for up to 48 months to determine failure-free survival (FFS). The authors computed socioeconomic status (SES) and allostatic load (AL) scores to quantify socioeconomic status and level of metabolic dysregulation. They stratified patients by race as African American men (AAM) versus men of other races (MOR) and compared FFS between them using the z-test. RESULTS: Eighty-one (AAM&#xa0;=&#xa0;29, MOR&#xa0;=&#xa0;52) and 76 (AAM&#xa0;=&#xa0;26, MOR&#xa0;=&#xa0;50) men completed per-protocol sRT in arms A and B, respectively. Across study arms, AAM showed a higher FFS rate than MOR (72.8% [95% CI, 53.8%-85.0%] vs. 58.7% [95% CI, 46.6%-68.9%]; p&#xa0;=&#xa0;.002). In arm A, FFS rate was better for AAM than MOR, (64.0% [95% CI, 34.4%-82.9%] vs. 45.3% [95% CI, 28.8%-60.4%]; p&#xa0;=&#xa0;.008). In arm B, FFS improved for both groups but less so for AAM, (81.5% [95% CI, 57.2%-92.7%] vs. 73.0% [95% CI, 56.3%-84.1%]; p&#xa0;=&#xa0;.131). The authors found lower SES scores and higher AL scores for AAM in both study arms than MOR. CONCLUSION: Despite lower socioeconomic status and higher burden of metabolic dysregulation, in a clinical trial setting that controls for disparities in health care access, AAM have a more favorable sRT outcome than MOR.

Humans

Heightened frequency of innate immunity risk alleles in south Indian diabetics with urinary tract infections.

Urinary Tract Infections are an emerging public health concern among individuals with diabetes mellitus, particularly in South Asia where high disease burden, genetic diversity and increasing drug resistance contribute to the progressive increase in burden. While metabolic and clinical risk factors are well studied, the role of host innate immune genetic variations in shaping UTI susceptibility among diabetics remains poorly understood. This case-control study evaluated functional polymorphisms in key innate immunity genes, TLR4 (rs4986790, rs4986791), MBL2 (rs1800450) and LTA (rs909253), in 70 T2D patients with UTI and 70 T2D patients without UTI. Genotyping was performed using 5'-hydrolysis probe assay. Across all the four SNPs, the risk allele consistently showed a higher frequency among T2D patients with UTI, indicating a directional trend suggestive of cumulative susceptibility. Also, a strong and significant protective association was observed for the LTA rs909253 'G' allele, which was less frequent in cases than controls. This low-inflammatory 'AA' genotype was also markedly enriched among rUTI cases compared to controls. Clinically, 34.3% of cases experienced rUTIs. This observed directional increase of risk alleles across all four innate immunity SNPs, along with the protective role of LTA rs909253 'G' allele, highlights cumulative host genetic modulation of UTI risk in T2D and supports translational use of genetic profiling in infection risk prediction.

Humans

Radical surgical treatment of craniopharyngioma.

There is evidence from this publication and those of Matson and colleagues that a determined effort at total excision of these tumors as the initial therapy is a tenable course of action. The main bases for this concept are: (1) that the dense gliosis characteristically intervening between these epithelial tumors and normal brain constitutes a margin of safety for the surgeon at least for the first several years such tumors are growing in the 3rd ventricle; (2) improved early diagnosis and better operative instruments, magnification, lighting, and technique are decreasing operative morbidity and mortality; and (3) new knowledge and new replacement therapy are reducing the burden of the metabolic and endocrine defects. Competing with this is the concept that rotationally delivered or even more precisely focused high energy photons and intracavitary beta-radiation have lower morbidity and mortality. The detailed and long term data on which to draw conclusions are not yet available. My medical colleagues and I are preparing case-by-case tables with all of the relevant facts to supply one component of the total picture.

Adolescent

Genome-Resolved Functional Profiling of Osteoporosis-Associated Gut Bacteria Highlights Putative Metabolic and Immunogenic Signatures of the Gut-Bone Axis.

The gut microbiota has emerged as a potential regulator of bone metabolism, but the genome-encoded functional repertoire of osteoporosis-associated gut bacteria remains insufficiently characterized. This study performed in silico functional profiling of gut bacterial taxa associated with osteoporosis, low bone mineral density, or comparator bone-related phenotypes. Twenty candidate taxa were selected from evidence in the human microbiome and represented by 26 curated bacterial reference genomes. Genome-wide annotations were used to map predicted gut-bone axis signatures, carbohydrate-active enzyme (CAZyme) repertoires, selected Kyoto Encyclopedia of Genes and Genomes pathways, and gutSMASH-predicted metabolic gene clusters. Functional burdens were normalized as hits per 1000 annotated proteins and integrated into metabolic, immunogenic, CAZyme, KEGG, and metabolic gene cluster profiles. Twelve predicted gut-bone axis signatures were identified, comprising 3337 primary candidate protein hits and a strict high-confidence subset of 2497 hits. Dominant signatures included vitamin B12/cobalamin metabolism, folate/one-carbon metabolism, peptidoglycan/cell-wall biosynthesis, and short-chain fatty acid-related functions. Dialister invisus, Dialister succinatiphilus, Megamonas funiformis, and Megamonas hypermegale showed the strongest normalized predicted gut-bone axis signal. These hypothesis-generating findings prioritize microbial metabolic and immunogenic features for future metagenomic, metabolomic, and experimental validation studies.

Osteoporosis

Multi&#x2011;omics approaches to decipher the molecular mechanisms of exercise&#x2011;mediated bone protection: From mechanistic insights to personalized exercise prescription (Review).

The global burden of bone metabolic disorders necessitates a shift from generic exercise recommendations toward personalized prescription strategies. Exercise confers skeletal protection through mechanotransduction, yet the underlying molecular networks remain incompletely understood. Multi&#x2011;omics technologies, including transcriptomics, proteomics, metabolomics and single&#x2011;cell spatial approaches, have revolutionized the capacity to decode exercise&#x2011;mediated bone adaptation at the systems level. The present review synthesizes current single&#x2011;omics landscapes and integrative multi&#x2011;omics analyses that elucidate the core regulatory networks, mechanobiological coupling mechanisms and multiorgan crosstalk that are implicated in the bone response to mechanical loading. Translational applications across clinical scenarios such as osteoporosis, osteoarthritis and disuse bone loss are evaluated, and the technical, analytical and translational challenges limiting clinical implementation are addressed. Finally, the present review provides a framework for translating multi&#x2011;omics molecular signatures into personalized exercise prescriptions for optimized skeletal health.

Humans

Aldosterone fuels the progression of cardiovascular-kidney -metabolic syndrome: focus on primary aldosteronism spectrum.

In 2023, the American Heart Association (AHA) introduced the Cardiovascular-Kidney-Metabolic (CKM) syndrome concept to address the substantial burden of interrelated cardiovascular, kidney, and metabolic disorders. The framework highlights that chronic kidney disease (CKD) significantly accelerates CKM syndrome progression and increases cardiovascular risk, an effect that may be closely paralleled by aldosterone excess. Excess aldosterone can arise from renin-dependent aldosteronism (RDA), a primarily physiological state (not discussed in this review), or from renin-independent aldosteronism (RIA). RIA is a pathophysiologically relevant condition characterized by persistent autonomous activation, bypassing normal renin-angiotensin-aldosterone system (RAAS) regulation. Its most recognized form is PA, a prevalent, multidimensional disorder spanning a continuum from subclinical to overt autonomous aldosterone production. This leads to inappropriately elevated aldosterone relative to suppressed renin and sodium levels. PA is a leading cause of secondary hypertension and elevates the risk of metabolic and cardiorenal disorders, showing substantial overlap with CKM syndrome. Despite its clinical significance, the specific relationship between PA and CKM syndrome remains insufficiently investigated. This review synthesizes evidence from three key perspectives: (1) Epidemiology and clinical data show that PA spans a spectrum from subclinical to overt stages and is strongly associated with driving and accelerating the progression of CKM syndrome; (2) Therapeutically, targeted treatment of PA mitigates the adverse effects of aldosterone on CKM syndrome progression; and (3) Pathophysiologically, inappropriately elevated aldosterone primarily interacts with widely distributed mineralocorticoid receptors in tissues relevant to CKM syndrome, exacerbating key pathogenic pathways akin to adding fuel to the fire. Building on this synthesis, we emphasize that inappropriately elevated aldosterone is not merely a simple biomarker but an active driver and accelerator of CKM syndrome progression. This review also proposes future directions for integrated PA-CKM screening and management. Incorporating PA into the CKM syndrome framework could not only refine CKM syndrome care but also address the critical underdiagnosis of PA, whose screening rate regrettably remains below 2% in high-risk populations.

Humans

[Is the jejunoileal bypass still justified? (author's transl)].

The jejunoileal bypass for the treatment of extreme obesity is being increasingly criticized because of its severe metabolic complications. With the gastric bypass, developed by Mason in 1967, there now exists an operative alternative that is equivalent concerning weight reduction, but does not create such non-physiologic conditions of absorption, and therefore is not burdened with the severe metabolic disturbances of the jejunoileal bypass. Therefore the jejunoileal bypass should not be used any longer for the treatment of obesity.

Diarrhea

Multi-omic characterization of the Hispanic/Latino blood lipidome reveals an additional locus and attenuated genetic prediction.

While lipids have been extensively investigated, genetic regulation of the circulating lipidome in diverse populations remains poorly understood. We conducted a lipidome-wide genome-wide association study (GWAS) of 830 lipid species in 2,287 Hispanic/Latino participants and performed predictive modeling across omics layers. We identified 7,593 genome-wide significant SNPs mapping to 208 genes. Conditional analysis disentangled the long-range linkage disequilibrium artifacts from the pleiotropic FADS1/2/3 cluster. Separately, we discovered an association at the GPLD1 locus for a circulating ceramide. Colocalization revealed shared genetic architecture with conventional lipids alongside distinct, species-specific pathways. Incorporating Native/Indigenous American expression quantitative trait loci (eQTLs) within a multi-omic framework uncovered 62 likely regulatory genes missed by European-centric gene expression models. Finally, genetically regulated predictive models demonstrated performance declining from transcriptomics to proteomics to lipidomics, reflecting increased distance from gene action along the molecular cascade. Our study provides a genetic landscape of lipid metabolism in a highly burdened population and highlights the challenges in predicting lipid abundance.

Hispanic/Latino population

Metabolic Dysfunction-Associated Carcinogenesis: Molecular Mechanisms and the Preventive Roles of Phytochemicals Part I: Pathophysiological Mechanisms Linking Metabolic Dysfunction to Cancer.

The global cancer burden is projected to escalate to 27 million new cases annually by 2040, a trajectory that parallels the rising prevalence of obesity, metabolic dysfunction, and related metabolic disorders. While genetic and environmental factors are well-recognized, the systemic metabolic environment is increasingly identified as a critical determinant of tumorigenesis. This review (Part I) systematically delineates the molecular and cellular framework through which metabolic dysfunction orchestrates a tumor-permissive landscape. We evaluate six primary pathophysiological axes: (1) chronic low-grade inflammation that fuels a protumorigenic milieu, (2) oxidative stress and redox imbalance leading to genomic instability, (3) insulin resistance and insulin-like growth factor axis activation which stimulate mitogenic pathways, (4) aberrant lipid metabolism and lipotoxicity-driven cell transformation, (5) gut microbiota dysbiosis and its modulation of the tumor microenvironment, and (6) metabolism-associated epigenetic remodeling that sustains oncogenic gene expression. Unlike previous literature that has focused on isolated pathways, this synthesis emphasizes the synergistic crosstalk among these mechanisms, illustrating how they collectively reinforce cancer initiation and progression. Furthermore, this mechanistic framework provides a biological rationale for targeting metabolism-associated carcinogenesis through dietary phytochemicals and bioactive compounds, which will be comprehensively discussed in Part II. By providing an integrated overview of the metabolic dysfunction-cancer axis, this work establishes a mechanistic foundation for the preventive potential of phytochemicals. These insights are crucial for developing multitarget dietary strategies against metabolism-associated malignancies.

carcinogenesis

Dynamic metabolic modelling of ATP allocation during viral infection.

Viral pathogens, like SARS-CoV-2, hijack the host's macromolecular production machinery, imposing an energetic burden that is distributed across cellular metabolism. To explore the dynamic metabolic tension between the host's survival and viral replication, we developed a computational framework that uses genome-scale models to perform dynamic flux balance analysis of human cell metabolism during virus infections. Relative to previous models, our framework addresses the physiology of viral infections of non-proliferating host cells through two new features. First, by incorporating the lipid content of SARS-CoV-2 biomass, we discovered activation of previously overlooked pathways giving rise to new predictions of possible drug targets. Furthermore, we introduce a dynamic model that simulates the partitioning of resources between the virus and the host cell, capturing the extent to which the competition depletes the human cells from essential ATP. By incorporating viral dynamics into our COMETS framework for spatio-temporal modelling of metabolism, we provide a mechanistic, dynamic and generalizable starting point for bridging systems biology modelling with viral pathogenesis. This framework could be extended to broadly incorporate phage dynamics in microbial systems and ecosystems.

Humans

GammaG-globulin production and light-chain metabolism in patients with metastatic cancer.

GammaG-Globulin and excess light-chain metabolism were studied in eight subjects with progressive metastatic malignant disease by determining the plasma radioactivity curves following the administration of appropriately labeled substances. In addition to the plasma die-away curves, which required about 3 weeks for full expression for gamma-globulin, but only 3 to 4 days for light-chain, urinary excretion of the label from metabolized protein was determined. The data are compared to similar studies in control individuals. The metabolism of excess light chain was similar to normal in all respects. The total synthesis of gammaG-globulin was increased with a mean value about twice normal. The mean survival time of a circulating immunoglobulin molecule was short, indicating rapid loss from the system. Other aspects of immunoglobulin metabolism were similar to normal with a normal percentage of the labeled protein appearing in the urine, suggesting no abnormality in the utilization pattern but simply an increased rate of turnover. The capability of malnourished patients with cancer to produce large quantities of immunoglobulin is not specific for this disease, since similar patterns may be seen in response to infections in protein-depleted individuals. However, there is the possibility that the cancer itself acts as an inciting agent in these subjects. Furthermore, such sustained protein synthesis may place an additional burden on already compromised host metabolism.

Humans